Back to SearchLead AI Solution Engineer
Hybrid in Mexico: Guadalajara
AI Solution Engineering& 3 others
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We are seeking a Lead AI Solution Engineer to embed AI into everyday engineering workflows and tooling to boost developer productivity across front-end and back-end teams. You will evaluate and deploy AI-assisted development approaches, automate lifecycle tasks, and coach teams on best practices. Apply to help accelerate delivery and reduce friction.
Responsibilities
- Define an AI enablement roadmap that improves engineering velocity across front-end and back-end teams
- Evaluate and deploy AI-assisted development tools for IDEs, code generation, and code understanding
- Design agentic workflows that automate repetitive engineering tasks and reduce developer friction
- Automate unit test generation, documentation creation, and pull request summarization using AI
- Integrate AI-driven analysis, linting, and vulnerability detection into CI/CD pipelines
- Establish prompt engineering guidelines and safe-use best practices for developers
- Coach engineers through workshops and office hours to drive effective AI adoption
- Partner with DevOps to operationalize AI tooling within existing pipelines and environments
- Measure impact using delivery metrics and qualitative feedback, then iterate on solutions
- Document standards, playbooks, and reusable workflows that scale across teams
Requirements
- 5+ years of full-stack engineering experience focused on developer productivity
- Lead-level experience driving AI enablement or engineering optimization initiatives
- Proven leadership skills mentoring engineers and guiding adoption of new tooling
- Strong project execution skills delivering workflow and automation improvements end to end
- Hands-on AI & ML Strategy skills for practical engineering enablement
- Hands-on AI Agents Frameworks experience to automate development lifecycle tasks
- AI DIAL experience integrating AI capabilities into developer tools and processes
- Strong CI/CD knowledge to integrate automated checks and analysis into pipelines
- Strong IDE and version control skills with modern ecosystems and Git
- Strong coaching and stakeholder communication skills across engineering disciplines
- Upper-Intermediate English proficiency (B2) for collaboration and documentation
Nice to have
- Hands-on experience with LLM APIs and model providers
- Experience building RAG pipelines or fine-tuning workflows
- Familiarity with React, Next.js, and TypeScript contexts
- Familiarity with microservices, APIs, and database-driven back-end systems
- Experience with VS Code or JetBrains plugin ecosystems